CVE-2005-3522 in ManageEngine Netflow Analyzer
Summary
by MITRE
Cross-site scripting (XSS) vulnerability in index.jsp in ManageEngine Netflow Analyzer 4.0.2 allows remote attackers to inject arbitrary web script or HTML via the grDisp parameter.
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Analysis
by VulDB Data Team • 12/15/2024
The vulnerability identified as CVE-2005-3522 represents a critical cross-site scripting flaw within ManageEngine Netflow Analyzer version 4.0.2, specifically affecting the index.jsp component. This vulnerability exposes the application to remote code execution risks through web script injection attacks that can compromise user sessions and data integrity. The flaw manifests when the application fails to properly sanitize user input passed through the grDisp parameter, creating an avenue for malicious actors to inject arbitrary HTML and JavaScript code into the application's response. The vulnerability falls under CWE-79 which categorizes improper neutralization of input during web page generation, making it a classic example of insecure web application development practices that have plagued enterprise monitoring solutions for years.
The technical exploitation of this vulnerability occurs when an attacker crafts a malicious URL containing script code within the grDisp parameter and delivers it to unsuspecting users or system administrators. When the vulnerable application processes this input and renders it without proper sanitization or encoding, the injected script executes within the victim's browser context, potentially leading to session hijacking, credential theft, or redirection to malicious sites. The impact extends beyond simple script execution as this vulnerability can enable attackers to manipulate the application's behavior and potentially access sensitive network monitoring data that the Netflow Analyzer provides. This type of vulnerability is particularly dangerous in enterprise environments where network monitoring tools like Netflow Analyzer contain privileged access to critical infrastructure data.
The operational consequences of CVE-2005-3522 are severe for organizations relying on ManageEngine Netflow Analyzer for network traffic analysis and monitoring. Attackers can leverage this vulnerability to gain unauthorized access to network flow data, potentially compromising network security posture and exposing sensitive infrastructure information. The vulnerability creates opportunities for attackers to establish persistent access through session manipulation, making it difficult to detect and remediate. From an ATT&CK framework perspective, this vulnerability aligns with techniques such as T1059.007 (Command and Scripting Interpreter: JavaScript) and T1566 (Phishing) as attackers can use the XSS capability to deliver malicious payloads or redirect users to compromised sites. Organizations using this version of Netflow Analyzer face significant risk of data exfiltration, network reconnaissance, and potential lateral movement within their infrastructure.
Mitigation strategies for CVE-2005-3522 require immediate implementation of input validation and output encoding controls within the application. Organizations should implement proper parameter sanitization for all user-supplied input, particularly parameters like grDisp that are processed by the index.jsp component. The recommended approach includes applying proper HTML encoding to all dynamic content before rendering and implementing Content Security Policy headers to prevent unauthorized script execution. Additionally, upgrading to a patched version of ManageEngine Netflow Analyzer is essential as this vulnerability was addressed in subsequent releases. Network segmentation and monitoring for suspicious traffic patterns can provide additional detection capabilities, while regular security assessments should verify that similar input validation flaws are not present in other application components. The vulnerability serves as a reminder of the critical importance of secure coding practices and input validation in enterprise monitoring applications, particularly those handling sensitive network infrastructure data.